{"id":"W3156403399","doi":"10.1155/2021/5568777","title":"Bottom-Up Approach Ship Emission Inventory in Port of Incheon Based on VTS Data","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Incheon National University","keywords":"Port (circuit theory); Emission inventory; NOx; Environmental science; Pollution; Dominance (genetics); Environmental engineering; Air pollution; Transport engineering; Nitrogen oxides; Engineering; Meteorology; Air quality index; Waste management; Geography; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006146545,0.0001265641,0.0002556858,0.0001017879,0.00003935323,0.000005568279,0.0002962848,0.00009027497,0.0005041683],"category_scores_gemma":[0.00005083287,0.0001117276,0.00008054794,0.0004486998,0.00005790178,0.0004275421,0.000007356356,0.0003212204,0.000001868388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007573728,"about_ca_system_score_gemma":0.000117521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003314097,"about_ca_topic_score_gemma":0.00004995778,"domain_scores_codex":[0.9981241,0.00005002468,0.0007317876,0.0002652913,0.000660769,0.0001680685],"domain_scores_gemma":[0.9990664,0.00003865703,0.0003727058,0.0003485062,0.00004480177,0.0001289248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008426539,0.002064856,0.3659864,0.0002388599,0.0000155097,0.0002469401,0.001547227,0.4976101,0.1060668,0.00006718595,0.001106833,0.02420659],"study_design_scores_gemma":[0.002935578,0.0002980699,0.9637775,0.0005024484,0.00006688546,0.00001330675,0.000782766,0.01027561,0.01653566,0.0003424785,0.004166727,0.0003029544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935757,0.0001029702,0.00363247,0.000133195,0.0003836136,0.0001112203,0.00002384511,0.000007299799,0.002029683],"genre_scores_gemma":[0.9888993,0.00006435203,0.01056352,0.00006355403,0.00004634435,0.0000015956,0.0002220613,0.00001233243,0.0001269662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5977911,"threshold_uncertainty_score":0.5520289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144150486197586,"score_gpt":0.2613760608870416,"score_spread":0.2399345560250658,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}